A data variability index: Quantifying complexity of models and analyzing adversarial data
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22947
Abstract: In system modeling arises a fundamental question about the level of difficulty one may encounter when designing a model on a basis of some training data. In this study, we advocate that such level of… read more here.
Keywords: index; adversarial data; index quantifying; variability ... See more keywords
Sliced Wasserstein adversarial training for improving adversarial robustness
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-024-04791-1
Abstract: Recently, deep-learning-based models have achieved impressive performance on tasks that were previously considered to be extremely challenging. However, recent works have shown that various deep learning models are susceptible to adversarial data samples. In this… read more here.
Keywords: wasserstein adversarial; training; sliced wasserstein; adversarial training ... See more keywords
Adversarial Data Hiding in Digital Images
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24060749
Abstract: In recent studies of generative adversarial networks (GAN), researchers have attempted to combine adversarial perturbation with data hiding in order to protect the privacy and authenticity of the host image simultaneously. However, most of the… read more here.
Keywords: adversarial data; quality; digital images; hiding digital ... See more keywords